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Table 3 pairwise comparison of predictions made by FAM and SVM for 369 GO functions in 4 cross-validation experiments. For each of the 369 GO functions, the performance of FAM and SVM are compared. "Win," "Tie" and "Lose" refer to the number of GO functions for which FAM's predictions are better than, tied with, or worse than that of SVM, respectively. The last row, denoted by "ACV," compares FAM and SVM using performance metrics which are averaged over the 4 cross-validation folds. As expected, this gives rise to fewer ties.

From: A factor analysis model for functional genomics

CV Fold Sensitivity10% Specificity10% AUC
  Win Tie Lose Win Tie Lose Win Tie Lose
1 106 168 95 107 167 95 193 2 174
2 87 181 101 88 183 98 177 1 191
3 104 171 94 109 166 94 186 3 180
4 90 193 86 92 192 85 199 6 164
ACV 184 36 146 194 34 141 201 0 168